{"id":"W2767154953","doi":"10.1109/tste.2017.2769558","title":"Priority-Based Microgrid Energy Management in a Network Environment","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microgrid; Renewable energy; Computer science; Energy storage; Mathematical optimization; Economic dispatch; Distributed generation; Grid; Energy management; Electric power system; Power (physics); Engineering; Energy (signal processing); Electrical engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005111807,0.0004294057,0.0004526441,0.0003128141,0.0004698486,0.0007836971,0.0008533965,0.0003413688,0.001566229],"category_scores_gemma":[0.0007689452,0.0002044502,0.0002290695,0.0003599288,0.0002963106,0.0009755493,0.0007637568,0.0004826599,0.0002150107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006164523,"about_ca_system_score_gemma":0.0006882941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002616733,"about_ca_topic_score_gemma":0.005249359,"domain_scores_codex":[0.9997508,0.00006896703,0.00001425039,0.00004883956,0.00007740917,0.00003966007],"domain_scores_gemma":[0.9997869,0.00006534027,0.00003283598,0.00002123345,0.00006123574,0.00003238751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002340204,0.0001395811,0.0007764906,0.0001527508,0.00004141909,0.0002586867,0.0002116567,0.7966939,0.01112556,0.03479353,0.002320998,0.1532514],"study_design_scores_gemma":[0.00001702678,0.00005509344,0.0001130835,0.000004098753,0.000008195119,0.00003137008,0.00003431844,0.9904969,0.001372545,0.00664249,0.001218315,0.000006656241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03505829,0.0002751605,0.9583958,0.0001910441,0.00007265159,0.00007942273,0.00003349489,0.0002905717,0.005603483],"genre_scores_gemma":[0.8580993,0.00024106,0.1384815,0.00004770769,0.00004737256,0.00005457293,0.00003899061,0.00004087253,0.002948642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002616733,"threshold_uncertainty_score":0.005239546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003738184470263683,"score_gpt":0.1768426992874383,"score_spread":0.1731045148171746,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}